Parth Bhatt
Marketing Analytics Manager @Breathe Digital
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WORK HISTORY
Marketing Analytics Manager @Breathe Digital
Thunder Bay, ON, CA
When iOS updates and cookie restrictions started eroding conversion signals for our clients, I rebuilt their tracking infrastructure from the ground up—setting up Server-Side GTM containers and Meta CAPI integrations that recovered roughly 25% of conversions we were previously flying blind onBuilt GA4 measurement schemas tailored to each client\'s funnel, defining the right events, custom dimensions, and conversion triggers so that when a campaign launches, the data coming in is actually trustworthyRegularly dig into JSON data layers and Shopify API events to catch misfiring tags and broken checkout tracking before they quietly skew campaign decisions at scaleDesigned incrementality testing frameworks and interpreted Media Mix Model outputs to guide budget allocation across Meta, Google, and display — building multi-touch attribution analysis to map customer journeys, support CAC targeting, and recover ~25% of lost conversion signals via Server-Side GTM and Meta CAPI integrations.Own the lead data lifecycle across Salesforce and marketing automation platforms — managing how leads are scored, routed, and maintained so the handoff between marketing and sales isn\'t a mess of duplicates and missing fieldsBuilt automated reporting dashboards in Looker Studio and Power BI that pull GA4, paid media, and CRM data into one view, giving clients and leadership a single reliable source of truth instead of five conflicting spreadsheetsTake complex funnel and behavioral data and shape it into clear, story-driven reports that help senior stakeholders make confident decisions about where to put the budget next
EDUCATION
Government Engineering College,Gandhinagar
Bachelor of Engineering - BE, Computer Engineering
Lakehead University
Master of Science - MS, Computer Science
ABOUT PARTH BHATT
I have spent the last 6 years working at the intersection of data engineering, tracking implementation, and marketing analytics—making sure the measurement foundation is solid before anyone draws conclusions from it.My current work spans building Python ETL pipelines into Snowflake; writing SQL transformation layers that feed reliable dashboards; running incrementality experiments across paid media channels; interpreting Media Mix Model outputs to guide budget decisions; and rebuilding broken attribution infrastructure when tracking failures quietly erode campaign data.On the tracking side, I work hands-on with server-side GTM, Meta CAPI, GA4 measurement schemas, and Shopify data layers—including rebuilding implementations from scratch when iOS restrictions and cookie blocking made client-side signals unreliable. I work daily with StackAdapt, Google Ads, and Illumin on the programmatic side and with Salesforce and Segment. On the measurement side, I work with Salesforce, Segment, CDP, GA4, Snowflake, and SEMrush.What I help teams do: • Recover conversion data lost to browser restrictions (Meta CAPI, Server-Side GTM)• Build LTV and churn models that feed real budget decisions • Design incrementality tests that isolate what is actually working vs. what just correlates • Build scalable dashboards and self-service reporting that teams use independently • Set up and audit GA4 implementations: event schemas, custom dimensions, conversiontriggers • Turn Snowflake data into clear, narrative-driven reports for senior stakeholdersTools: SQL · Python (Pandas, NumPy) · Snowflake · dbt · Tableau · Power BI · Looker Studio · Adobe Analytics · StackAdapt · Illumin · Google Ads · GA4 · Server-Side GTM · Meta CAPI · Salesforce · Segment CDP · Shopify · SEMrush · Git
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